Abstract
| Original language | English |
|---|---|
| Title of host publication | IEEE 32nd International Symposium on Computer-Based Medical Systems |
| Subtitle of host publication | CBMS 2019 |
| Publisher | Institute of Electrical and Electronic Engineers IEEE |
| Pages | 104-105 |
| Number of pages | 2 |
| ISBN (Electronic) | 978-117281-2286-1 |
| ISBN (Print) | 978-1-7281-2287-8 |
| DOIs | |
| Publication status | Published - Jun 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019: CBMS 2019 - Cordoba, Spain Duration: 5 Jun 2019 → 7 Jun 2019 |
Conference
| Conference | 32nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2019 |
|---|---|
| Country | Spain |
| City | Cordoba |
| Period | 5/06/19 → 7/06/19 |
Fingerprint
Keywords
- Big data
- Data analytics
- Health policy
- User-centred design
- Visualisation
Cite this
}
Meaningful integration of data, analytics and services of computer-based medical systems : The MIDAS touch. / Black, Michaela; Wallace, Jonathan; Rankin, Debbie; Carlin, Paul; Bond, Raymond; Mulvenna, Maurice; Cleland, Brian; Fischaber, Scott; Epelde, Gorka; Nikolic, Gorana; Pajula, Juha; Connolly, Regina.
IEEE 32nd International Symposium on Computer-Based Medical Systems: CBMS 2019. Institute of Electrical and Electronic Engineers IEEE, 2019. p. 104-105 8787457 (IEEE International Symposium on Computer-Based Medical Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Meaningful integration of data, analytics and services of computer-based medical systems
T2 - The MIDAS touch
AU - Black, Michaela
AU - Wallace, Jonathan
AU - Rankin, Debbie
AU - Carlin, Paul
AU - Bond, Raymond
AU - Mulvenna, Maurice
AU - Cleland, Brian
AU - Fischaber, Scott
AU - Epelde, Gorka
AU - Nikolic, Gorana
AU - Pajula, Juha
AU - Connolly, Regina
PY - 2019/6
Y1 - 2019/6
N2 - The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.
AB - The MIDAS consortium is a partnership involving health authorities, and technical big data experts from universities, research institutions, MNCs and SMEs across six EU countries (UK (NI and England), Ireland, Belgium, Finland, Spain and Slovenia), and the USA. The management of big data for 'health in all' poses a significant challenge for health policy makers. This challenge is addressed by the MIDAS project through the development of an integrated solution enabling knowledge liberation from data silos and unification of heterogeneous big data sources that can provide evidence-based actionable information and transform the way care is provided.
KW - Big data
KW - Data analytics
KW - Health policy
KW - User-centred design
KW - Visualisation
UR - http://www.scopus.com/inward/record.url?scp=85071018186&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2019.00031
DO - 10.1109/CBMS.2019.00031
M3 - Conference article in proceedings
SN - 978-1-7281-2287-8
SP - 104
EP - 105
BT - IEEE 32nd International Symposium on Computer-Based Medical Systems
PB - Institute of Electrical and Electronic Engineers IEEE
ER -